Assumptions of Quantile Regression ?

Can we classify HV and LV lines based on line length?

I have dataset which shows the length of power lines. I need to classify the lines based on the line length. Is there a rule to classify the High voltage (HV) and low voltage (LV) lines based on...

03 March 2021 4,116 4 View

Logistical regression using SPSS for a dichotomous dependent variable, with an independent variable of 1, 2, 5 and 10 seconds?

I have an experiment with 28 participants The independent variable is the times 1, 2, 5, and 10 used as the cross hairs during a task These 4 times were tested using 4 different blocks, each...

03 March 2021 9,692 2 View

Do I need to do linear regression before running mediation analysis using PROCESS MACRO by Hayes ?

I just wanted to check if I need to run a linear regression separately if I am using PROCESS MACRO to run mediation analysis. Thank you.

02 March 2021 4,359 3 View

What test should I use to compare two or three means, if data is not normally distributed but sample size is > 30 in each group?

I personally feel this as a most confusing question. As per my understanding, if sample size is > 30, and sample is skewed, we can still use paramteric approach, as it will follow Z...

01 March 2021 1,587 6 View

How to choose ANN number of hidden layers and nodes?

Hello, Could you please share any interesting research explaining how to choose the number of hidden layers and nodes per layer in case of regression problems using ANN? Thank you, any help would...

01 March 2021 6,200 3 View

Distribution of particles in metal matrix?

How would define the "good" and "poor" distribution of particles within the matrix. Is there a quantitative solution to assess the distribution of the particles, which then having denotation of...

28 February 2021 7,397 8 View

Can anyone provide the Support vector regression code structure of LIBSVM MATLAB or python ?

Please, if Gaussian Parameter optimization is possible in this code structure

28 February 2021 278 3 View

How could I take into consideration the weights of observation in a system of seemingly unrelated regressions (SUR) in rstudio?

I build a model of 4 regression equations (probit and OLS) in R studio. I need to take the weights of observations into consideration. While it is simple to do so for every regression equation,...

27 February 2021 1,233 1 View

VIF very high, but correlation is low and coefficient is significant. Which one whould I choose?

Hello. I have a question whether if my coefficients (statistically significant) would be valid when VIFs are really high. In my model, there are independent variables(IV), moderating variables...

26 February 2021 956 13 View

Treating Intermediate Variable in Linear Regression Analysis in SPSS?

While performing the Linear regression analysis in SPSS version 26.0.0. my intermediate/mediation variable goes to the excluded section. Please share your valuable suggestion "How to restrain the...

25 February 2021 4,591 5 View

Hussain Nizam

Quantile regression does not assume a normal distribution for the target variable. Unlike ordinary least squares (OLS) regression, which estimates the conditional mean, quantile regression models the response variable’s conditional quantiles. Quantile regression provides a flexible alternative to OLS by modeling different quantiles of the response variable, allowing for more nuanced insights into the data. It does not make strong distributional assumptions, making it useful in various scenario

Esperanza Trenado-Sanchez

Homoscedasticity and means 0